MLBEDSW-5396 Vela print_graph_with_tensors crash for optional tensor

Fixed crash in nn_graph.print_graph_with_tensors() and
nn_graph.print_graph_with_tensor_quantization() for optional
input tensors.

Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com>
Change-Id: I7a2d23892558006485c5c84842d65aa221dba44b

1 files changed, 22 insertions, 16 deletions

diff --git a/ethosu/vela/nn_graph.py b/ethosu/vela/nn_graph.py
index 97afde3..8a2517d 100644
--- a/ethosu/vela/nn_graph.py
+++ b/ethosu/vela/nn_graph.py
@@ -381,14 +381,17 @@ class Subgraph:
         for idx, op in enumerate(all_ops):
             print(idx, op.type, op.name)
             for idx, tens in enumerate(op.inputs):
-                print(
-                    "    Input  %02d %20s %20s %20s %s"
-                    % (idx, tens.purpose.name, tens.mem_area.name, tens.mem_type.name, tens)
-                )
+                if tens:
+                    print(
+                        f"    Input  {idx:02d}"
+                        f" {tens.purpose.name:>20} {tens.mem_area.name:>20} {tens.mem_type.name:>20} {tens}"
+                    )
+                else:
+                    print(f"    Input  {idx:02d} {'-':>20} {'-':>20} {'-':>20} {tens}")
             for idx, tens in enumerate(op.outputs):
                 print(
-                    "    Output %02d %20s %20s %20s %s"
-                    % (idx, tens.purpose.name, tens.mem_area.name, tens.mem_type.name, tens)
+                    f"    Output {idx:02d}"
+                    f" {tens.purpose.name:>20} {tens.mem_area.name:>20} {tens.mem_type.name:>20} {tens}"
                 )
             print()
 
@@ -398,22 +401,25 @@ class Subgraph:
         for idx, op in enumerate(all_ops):
             print(idx, op.type, op.name)
             for idx, tens in enumerate(op.inputs):
-                q = tens.quantization
-                if q is None:
-                    print("    Input  %02d %10s NO QUANTIZATION INFO %s" % (idx, tens.dtype, tens.name))
+                if tens:
+                    q = tens.quantization
+                    if q is None:
+                        print(f"    Input  {idx:02d} {tens.dtype!s:>10} NO QUANTIZATION INFO {tens.name}")
+                    else:
+                        print(
+                            f"    Input  {idx:02d} {tens.dtype!s:>10}"
+                            f" min={q.min} max={q.max} scale={q.scale_f32!s} zero_point={q.zero_point} {tens.name}"
+                        )
                 else:
-                    print(
-                        "    Input  %02d %10s min=%s max=%s scale=%s zero_point=%s %s"
-                        % (idx, tens.dtype, q.min, q.max, q.scale_f32, q.zero_point, tens.name)
-                    )
+                    print(f"    Input  {idx:02d} {'-':>10} {tens}")
             for idx, tens in enumerate(op.outputs):
                 q = tens.quantization
                 if q is None:
-                    print("    Output %02d %10s NO QUANTIZATION INFO %s" % (idx, tens.dtype, tens.name))
+                    print(f"    Output {idx:02d} {tens.dtype!s:>10} NO QUANTIZATION INFO {tens.name}")
                 else:
                     print(
-                        "    Output %02d %10s min=%s max=%s scale=%s zero_point=%s %s"
-                        % (idx, tens.dtype, q.min, q.max, q.scale_f32, q.zero_point, tens.name)
+                        f"    Output {idx:02d} {tens.dtype!s:>10}"
+                        f" min={q.min} max={q.max} scale={q.scale_f32!s} zero_point={q.zero_point} {tens.name}"
                     )
             print()